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检索条件"任意字段=Proceedings of the 3rd International Conference on Parallel and Distributed Information Systems"

共 4671 条记录，以下是281-290 订阅

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Auditable Anonymous Authentication Scheme for Cross-Chain Data Transmission 3

Auditable Anonymous Authentication Scheme for Cross-Chain Da...

引用

3rd international conference on Signal Image Processing and Communication, ICSIPC 2023

作者： Bai, Jian Lei, Li Gao, Jie Gong, Jie Ma, Xinting Xiao, Min Tang, Fei China Electronics Technology Cyber Security Co. Ltd. Chengdu610041 China School of Cyber Security and Information Law Chongqing University of Posts and Telecommunications Chongqing400065 China

ISBN: (纸本)9781510670945

Blockchain, as a distributed database, has been wildly used in real-world applications. Different systems based on blockchain form data silos. Therefore, cross-chain data transmission is required to realize value transfer in different systems. In the process of cross-chain data transmission, authentication is important for data security. In this work, we design an auditable anonymous authentication scheme for cross-chain data transmission. In our scheme, the sender can generate anonymous authentication message on the data. Then the receiver of the target blockchain knows the data is sent by a legal user of the original blockchain, but cannot know the real identity of the sender. By using Trusted Execution Environment (TEE) and pseudo identity methods, our scheme is more efficient than the similar anonymous authentication schemes in blockchain. © 2023 SPIE.

关键词： Blockchain

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Biometric Authentication with Blockchain: A Secure and User-Friendly Approach 3rd

Biometric Authentication with Blockchain: A Secure and User-...

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3rd international conference on Intelligent systems and Sustainable Computing, ICISSC 2023

作者： Subburaj, T. Raju, K. Srujan Suthendran, K. Kumar, Kovuri Praveen Rekha, Ch. Sultana, Saba Deeraj, C. Department of Master of Computer Applications Rajarajeswari College of Engineering Bengaluru India Department of CSE CMR Technical Campus Telangana Hyderabad India Department of Information Technology Kalasalingam Academy of Research and Education Tamilnadu Krishnankoli India

ISBN: (纸本)9789819783540

"Biometric Authentication with Blockchain: A Secure and User-Friendly Approach" proposes a novel system, a Blockchain-based distributed biometric Authentication System (BDAS), to address vulnerabilities in existing biometric authentication methods. The primary concerns tackled include the leakage of biometric information, irregularity in authentication modules, and non-transparency in information management. BDAS, leveraging blockchain technology, establishes a decentralized and distributed authentication system, ensuring reliable and secure authentication while minimizing performance overhead. The authors present a detailed exploration of biometric authentication, emphasizing the immutability of biometric data and the challenges associated with centralized management. They introduce BDAS as a solution that utilizes blockchain to enhance security, reliability, and transparency in biometric authentication. The paper includes an insightful evaluation of BDAS, comparing its performance with conventional authentication systems. The proposed system exhibits increased reliability in scenarios involving disabled clients, outperforming traditional systems. The authors conclude by highlighting BDAS's contributions to securing biometric information and propose future enhancements, such as optimizing template segmentation processes and considering the number of nodes for improved reliability. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： information leakage

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Exploring the Design of distributed Task-Driven Networks within the Framework of SDN Network Architecture 3

Exploring the Design of Distributed Task-Driven Networks wit...

引用

3rd international conference on Electronic information Engineering and Computer Science, EIECS 2023

作者： Zheng, Xueli Wang, Xiaoxi Cai, Jiakun Shan, Zhihuai Yu, Jing Aeronautical Radio Electronics Reseach Institute Science and Technology on Avionics Integration Laboratory Shanghai China Gauss Intelligent Technology Co. Ltd. Wireless Communication Research Laboratory Chengdu China

ISBN: (纸本)9798350316674

This article elaborates upon an aeronautical tactical network architecture grounded in distributed task requirements. In response to the communication demands inherent in future aerial combat paradigms, we have conceived a data-link network framework tailored to meet the imperatives of mission-driven scenarios. Owing to the intricate demands of the operational environment, conventional airborne data link systems encounter challenges when endeavoring to achieve cross-platform interoperability. The introduction of the Software-Defined Networking (SDN) architecture, however, furnishes a solution. Through centralized control and network management, it empowers constituents to promptly respond, engage in efficient decision-making, and facilitate collaborative combat operations. Furthermore, this article delves comprehensively into topics including task allocation and scheduling, as well as the southbound protocol overhead, offering viable resolutions. In contrast to traditional network optimization, the design philosophy of Software-Defined Networking (SDN) has been innovatively harnessed to shape a network architecture founded upon the principles of distributed task requirements. By amalgamating the tenets of SDN and task-driven attributes, this approach intertwines mission planning with network management, fulfilling the communication requisites of distributed task administration, ultimately culminating in a communication architecture tailored for aeronautical networks. © 2023 IEEE.

关键词： Airborne Tactical Network distributed Tasks Network Optimization Software Defined Network

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Optimized parallel Causal Product for Linear Transformer 3

Optimized Parallel Causal Product for Linear Transformer

引用

3rd international conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2023

作者： Liu, Siqi BNU-HKBU United International college Zhuhai China

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

The transformer has revolutionized Natural Language Processing and its exceptional performance has extended its application to computer vision. However, as more complex tasks arise, the demand for models to process longer sequences has increased. To address this, efficient transformers with reduced time and memory complexities have been developed. Linear transformer is an outstanding one of them with linear time complexity with input length. Causal product is the core computation of causal linear attention in linear transformer, which are commonly used to perform autoregressive tasks. However, in order to preserve the linearity, the causal products of queries are computed sequentially in Linear Transformer. We propose an innovative CUDA kernel function which allows for parallel computation of the query attention instead of sequential. Furthermore, we optimized the GPU computations of linear attention in Linear Transformer by double pipeline that decreases the time of data transmission. Our experiments demonstrate that our method achieves a 9x speedup compared to the original causal product function when implemented on a CPU. © 2023 SPIE.

关键词： Graphics processing unit

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Application of Hybrid parallel Cloud Architecture in Java+Oracle Implementation of Enterprise Management Innovation 3

Application of Hybrid Parallel Cloud Architecture in Java+Or...

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3rd international conference on Smart Electronics and Communication, ICOSEC 2022

作者： Song, Wei Nanjing Audit University Jinshen College jiangsu province Nanjing210000 China

ISBN: (数字)9781665497640

ISBN: (纸本)9781665497640

This article takes the application of multi-management system integration and operation in enterprises as the research object, hoping to solve the 'run-in' pain caused by the parallel operation of multiple management systems at this stage. Therefore, the article proposes to improve the organizational structure, and at the same time analyzes and discusses the performance and optimization technology of Oracle database, and expounds the architecture of the enterprise management information system. And learn the basic knowledge of related financial accounting used in the enterprise. In terms of development technology, the author mainly studied core technologies such as C/S architecture, Java programming language, and Oracle database system. © 2022 IEEE.

关键词： Cloud computing architecture

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distributed Photovoltaic Energy Storage Configuration Method for Distribution Network Considering Voltage Constraint 3

Distributed Photovoltaic Energy Storage Configuration Method...

引用

3rd IEEE international conference on information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Zhao, Linkun He, Dian Zeng, Xiangyuan Wu, Jing State Grid Hunan Electric Power Company Limited Changsha Power Supply Company Changsha China Hunan Xiangneng Tonghui Engineering Consulting Co. Ltd ChangSha China

ISBN: (纸本)9781665490788

With the rapid development of distributed photovoltaics, the randomness, intermittency, and fluctuation of its output power result in the aggravated active power imbalance of the distribution network system. In this paper, the constraints of the power supply radius of 10kV and the allowable range of voltage deviation of the distribution network are considered based on the limit transmission capacity under the temperature correction coefficient of the 10kV transmission line. Then, the voltage constraints of the bus at both ends of the 10kV load line and the 10kV distributed photovoltaic power uplink line are analyzed. According to the consumption requirements of distributed photovoltaic power, the control strategy of the energy storage system is proposed. Finally, the effectiveness and adaptability of the proposed method are verified by an actual regional power grid. The proposed method is shown to satisfy the requirements of supplying excess distributed photovoltaic power to the superior power grid and balancing the power consumption in situ. © 2023 IEEE.

关键词： Energy storage

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An Improved HRNET and its application in crowd counting 3

An Improved HRNET and its application in crowd counting

引用

3rd international conference on information Science, parallel and distributed systems, ISPDS 2022

作者： Zhang, Tian-Fei Ding, Jiao Zhou, Rong-Qiang Long, Hai-Yan Anhui Institute of Information Technology Wuhu China Hangzhou Zhileng Technology Co. Ltd Hangzhou China

ISBN: (数字)9781665487474

ISBN: (纸本)9781665487474

Aiming at the low accuracy of crowd counting caused by scale change and occlusion in dense scenes, this paper proposes to generate the truth map into non overlapping independent areas in HRNet to facilitate the crowd location statistics of network density map;Then the 3D attention mechanism is introduced to make the network focus on the useful information of the feature map;Finally, during the training, the mean square error loss (MSE loss), L1 loss and cross entropy loss are combined into the total loss function to optimize the generalization ability of the model;The combination of the above methods improves the accuracy of the model in crowd counting and crowd location. Compared with the main methods in recent years in the public datasets NWPU, Shanghai Tech, the experimental results show that the proposed model can effectively improve the accuracy and robustness of crowd location counting. © 2022 IEEE.

关键词： Location

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An efficient parallel optimization method for large model based on cloud computing 3

An efficient parallel optimization method for large model ba...

引用

3rd international conference on Electronic information Engineering and Data Processing, EIEDP 2024

作者： Xu, Zilong School of computer science and technology University of Science and Technology of China Anhui Hefei230026 China

ISBN: (纸本)9781510680531

Recent advancements in large-scale language models, as exemplified by ChatGPT, have undergone rapid and substantial development. Their efficacy in natural language processing (NLP) and related domains has notably surpassed that of traditional models. The pivotal role of cloud computing technology in supporting these advancements cannot be overstated. In this paper, we propose an effective and scalable 3D parallel optimization method for large-scale models, leveraging cloud computing capabilities to combine data, pipelines, and tensor slice-based parallelism, where the amalgamation of tensor slicing and pipeline parallelism operates with optimal efficiency in targeted areas. Specially, we curate a high-quality natural language training corpus comprising hundreds of billions of tags and collaboratively develop training methodologies to enhance optimization efficiency and stability. Furthermore, a data parallelization strategy is proposed to expedite the training of large models, utilizing specialized hardware and software tailored for deep learning to augment training speed. To further reduce training time delays, we advocate for the use of more efficient optimization algorithms. This comprehensive approach addresses the intricate technical requisites of large language models in cloud computing, adapting to the burgeoning resource demands anticipated in future AIGC applications, thereby reinforcing the advancement of artificial intelligence. Experimentation has underscored the effectiveness and potential of our system. © 2024 SPIE.

关键词： Cloud computing

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A Street View Semantic Segmentation Algorithm Based on DeeplabV3+ Architecture 3

A Street View Semantic Segmentation Algorithm Based on Deepl...

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3rd international conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2023

作者： Pan, Shuo Li, Jingwen Jiang, Jianwu Guilin University of Technology Guangxi Guilin541004 China Ecological Spatiotemporal Big Data Perception Service Laborator Guangxi Guilin541004 China

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

In order to solve the problem of semantic segmentation difficulties of city street scene pictures due to uneven color and strong light changes, this paper proposes a semantic segmentation algorithm of city street scene pictures based on DeepLabV3+ architecture with dark channel a priori *** algorithm firstly inverts the city streetscape image and then performs color balancing through the dark channel a priori module, then extracts contextual information hierarchically using a multi-channel parallel network, fuses low-level features with high-level features hierarchically to obtain the optimized feature map, secondly completes the fusion of multi-scale features through the spatial pyramid structure, and finally fuses the obtained feature map with the decoder twice to generate the final prediction results. The experimental results show that the algorithm in this paper outperforms the original DeeplabV3+ model in terms of subjective perception and objective indicators in urban scenes, and provides a new solution and technical idea for semantic segmentation of urban scenes. © 2023 SPIE.

关键词： Semantic Segmentation

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Design and simulation of an algorithm for evaluating the acceptance effect of online literature based on data mining technology 3

Design and simulation of an algorithm for evaluating the acc...

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3rd international conference on Electronic information Engineering and Data Processing, EIEDP 2024

作者： Sun, Danan He, Linghua Jilin animation institute Jilin International Studies University changchun China Jilin International Studies University changchun China

ISBN: (纸本)9781510680531

The aim of this study is to construct a network literature acceptance evaluation model based on data mining technology, deeply explore the reading behavior characteristics, preferences, and interaction patterns of readers, and effectively evaluate the acceptance effect of literary works and optimize content creation and promotion strategies. The core methodology includes utilizing the FP Growth algorithm to mine frequent data items and improving the processing efficiency and accuracy of the evaluation model through the PFP parallel computing system. This study not only provides a new methodology for the quantitative analysis of online literature, but also provides a scientific basis for the quality evaluation and cultural value dissemination of literary works. Through algorithm design and simulation testing, this article deeply explores the potential and challenges of data mining technology in the field of online literature evaluation, providing theoretical support and practical guidance for the healthy development and innovation of online literature. © 2024 SPIE.

关键词： Quality control

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